Introduction to econometrics II eco 356 faculty of social sciences course guide course Developers: Dr. Adesina-Uthman



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Introduction to Econometrics ECO 356 Course Guide and Course Material
MAXIMUM LIKELIHOOD ESTIMATION
The general aim of this module is to provide you with a thorough understanding of the basic rudiments of Simultaneous Equation, Binary Choice, and Maximum Likelihood Estimation. By the end of this module, you should be able to understand the components of the module stated below. The units to be studied are
Unit 1: Simultaneous Equation
Unit 2: Binary Choice and Limited Dependent Models with Maximum
Likelihood Estimation
UNIT 1: SIMULTANEOUS EQUATIONSESTIMATION
CONTENTS
5.1.1.0 Introduction
5.1.2.0 Objectives
5.1.3.0 Main Content
5.1.3.1 Simultaneous Equations Models Structural and Reduced Form Equations Simultaneous Equations Bias
5.1.4.0 Summary
5.1.5.0 Conclusion
5.1.6.0 Tutor-Marked Assignment
5.1.7.0 References/Further Reading

5.1.1.0 INTRODUCTION In the engagement of OLS to estimate the factors of an equation that is set in a simultaneous equations model, it is likely that the estimates will be biased and erratic which would invariably make the statistical tests invalid and inconsistent.


INTRODUCTION TO ECONOMETRICS II

ECO 306

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5.1.2.0 OBJECTIVE
The main objective of this unit is to demonstrate to the students that in practice most economic relationships interact with others in a system of simultaneous equations and when this is the case the application of OLS to a single relationship in isolation yields biased estimates.
5.1.3.0 MAIN CONTENTS
5.1.3.1 Simultaneous Equations Models Structural and Reduced Form
Equations As explained earlier in other modules, measurement error is not the only probable cause why the fourth Gauss–Markov condition may not be satisfied. Simultaneous equations bias is another. To illustrate this suppose there is an investigation on the determinants of price inflation and wage inflation. For ease, it would be better to start with a very simple model that supposes that p, the annual rate of growth of prices, is related to w, the annual rate of growth of wages, it being assumed that increases in wage costs force prices upwards That is
…[5.01] Here, w is related to pand U, the rate of unemployment, workers protecting their real wages by demanding increases in wages as prices rise, but their ability to do so being the weaker, the higher the rate of unemployment
). Which is stated as
…[5.02] where, are disturbance terms Clearly, this simultaneous equations model involves a certain amount ofcomplexity:wdetermines p in the first equation [5.01], and in turn,p helps to determine w in the second [5.02]. For better clarity in resolving this complexity, we need to make a distinction between endogenousand exogenous variables. Endogenous variables are variables whose values are determined by the interaction of the relationships in the model. Exogenous ones are those whose values are determined



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